Over-speeding is a pivotal factor in fatal traffic crashes globally,necessitating robust speed management strategies to augment road safety.In 2021,the National Highway Traffic Safety Administration reported over 1200...Over-speeding is a pivotal factor in fatal traffic crashes globally,necessitating robust speed management strategies to augment road safety.In 2021,the National Highway Traffic Safety Administration reported over 12000 speed-related fatalities in the United States alone.Previous studies aggregated over-speeding tendencies;however,the extent of over-speeding has a significant implication on the crash outcome.This study delves into the prevalence and magnitude of over-speeding in various scenarios,utilizing data from traffic cameras in Edmonton,Canada,and employing a negative binomial statistical model for analysis.The model elucidates the significance and likelihood of over-speeding tenden-cies by incorporating temporal and built environment variables,i.e.,year,month,number of lanes,dwelling unit types,school-related,and open green space.Study results indicated that the aggregation of the over-speeding data tends to underestimate the influence of var-ious factors.Notably,the estimated impact of the posted speed limit for the disaggregated models is up to over two times that for the aggregated model.Further,the summer months exhibit a roughly 25%uptick in speed limit violations for aggregated models while about a 40%uptick in the speed limit violations for disaggregated approaches.Conversely,a dis-cernible decline in over-speeding tendencies is observed with camera enforcement,show-casing a 25%reduction over four years.Built environment variables presented mixed results,with one-unit dwellings associated with a 12%increase in over-speeding,while proximity to schools indicated a 10%decrease.These pivotal findings provide policymakers and practitioners with valuable insights to formulate targeted interventions and counter-measures to curtail speed limit violations and bolster overall road safety conditions.展开更多
文摘Over-speeding is a pivotal factor in fatal traffic crashes globally,necessitating robust speed management strategies to augment road safety.In 2021,the National Highway Traffic Safety Administration reported over 12000 speed-related fatalities in the United States alone.Previous studies aggregated over-speeding tendencies;however,the extent of over-speeding has a significant implication on the crash outcome.This study delves into the prevalence and magnitude of over-speeding in various scenarios,utilizing data from traffic cameras in Edmonton,Canada,and employing a negative binomial statistical model for analysis.The model elucidates the significance and likelihood of over-speeding tenden-cies by incorporating temporal and built environment variables,i.e.,year,month,number of lanes,dwelling unit types,school-related,and open green space.Study results indicated that the aggregation of the over-speeding data tends to underestimate the influence of var-ious factors.Notably,the estimated impact of the posted speed limit for the disaggregated models is up to over two times that for the aggregated model.Further,the summer months exhibit a roughly 25%uptick in speed limit violations for aggregated models while about a 40%uptick in the speed limit violations for disaggregated approaches.Conversely,a dis-cernible decline in over-speeding tendencies is observed with camera enforcement,show-casing a 25%reduction over four years.Built environment variables presented mixed results,with one-unit dwellings associated with a 12%increase in over-speeding,while proximity to schools indicated a 10%decrease.These pivotal findings provide policymakers and practitioners with valuable insights to formulate targeted interventions and counter-measures to curtail speed limit violations and bolster overall road safety conditions.
